🔬 AMP Candidates
646 computationally predicted antimicrobial peptide candidates
🧬 About these candidates
Each candidate was identified by mining extreme-environment metagenomes with ESM-2, a protein language model trained on 250M sequences. Candidates pass multi-stage filtering: biophysical scoring, novelty screening against 863K known AMPs (APD3 + DRAMP + AMPSphere), hemolysis risk prediction, and structural validation via AlphaFold2.
⚠️ All candidates are computationally predicted — no experimental validation has been performed.
🧊 Permafrost
0.9613
🧊 Permafrost
0.9613
🧊 Permafrost
0.9613
🧊 Permafrost
0.9605
🧊 Permafrost
0.9605
🧊 Permafrost
0.9605
🧊 Permafrost
0.9605
🧊 Permafrost
0.9602
🧊 Permafrost
0.9602
🧊 Permafrost
0.9600
🧊 Permafrost
0.9598
🧊 Permafrost
0.9595
🧊 Permafrost
0.9595
🧊 Permafrost
0.9595
🧊 Permafrost
0.9592
🧊 Permafrost
0.9591
🧊 Permafrost
0.9590
🧊 Permafrost
0.9588
🧊 Permafrost
0.9579
🧊 Permafrost
0.9577
🧊 Permafrost
0.9577
🧊 Permafrost
0.9574
🧊 Permafrost
0.9573
🧊 Permafrost
0.9572
📚 Understanding the metrics